Behavioural cloning uses a dataset of demonstrations to learn a behaviou...
In this paper, we introduce a method for unifying language, action, and ...
In this paper, we compare methods for estimating the complexity of
two-d...
To facilitate research in the direction of fine-tuning foundation models...
Our aim is to build autonomous agents that can solve tasks in environmen...
Our goal with this survey is to provide an overview of the state of the ...
The practical application of learning agents requires sample efficient a...
Learn-to-Race Autonomous Racing Virtual Challenge hosted on
www<dot>aicr...
AI Blitz XIII Faces challenge hosted on www.aicrowd.com platform consist...
The IARAI Traffic4cast competitions at NeurIPS 2019 and 2020 showed that...
Accurate traffic prediction is a key ingredient to enable traffic manage...
With this work we are explaining the "You Only Look Once" (YOLO) single-...
In this work, we demonstrate how to adapt a publicly available pre-train...
This work discusses a learning approach to mask rewarding objects in ima...
Reinforcement learning competitions have formed the basis for standard
r...
We propose a new deep learning model for goal-driven tasks that require
...
Complex environments and tasks pose a difficult problem for holistic
end...
In the NIPS 2017 Learning to Run challenge, participants were tasked wit...